Econometrics test answers 180 questions

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Collection of test tasks for the discipline "Econometrics", the number of questions - 180.

Task 1.

Question 1. What is the literal translation of the term "econometrics"?

measuring the economy;

Economy measurements;

measurement of the economy;

measurement of results;

farming.

Question 2: Which of the following models are econometric?

model of Leontief input-output,

results of studies Frisch and Tinbergen and their successors,

Cobb-Douglas;

the system of national accounting;

model input-output Leontief, research Frisch and Tinbergen and their successors, the production function of the Cobb-Douglas.

Question 3. What is the economic dimension?

accurate;

inaccurate;

erroneous;

random;

associated with random errors.

Question 4. In which case, it is concluded that there observed regularities?

if coincidence is more likely;

if coincidence is unlikely;

if the random mismatch is unlikely;

if the random mismatch is more likely;

there is no right answer.

Question 5. What are the names econometric models, which are dependent resultant variable from time to time?

regression models;

simultaneous equations;

time series models;

Cobb-Douglas model;

there is no right answer.

Task 2.

Question 1. What is the model of temporal data in econometrics, explaining the behavior of resultant variable depending on the previous values \u200b\u200bof factorial variables?

model of expectations;

autoregression model;

distributed lag model;

stationary model series;

model of non-stationary series.

Question 2. What is the model of temporal data in econometrics, explaining the behavior of resultant variable and depending on the values \u200b\u200bof previous successful variables?

model of expectations;

autoregression model;

distributed lag model;

stationary model series;

model of non-stationary series.

Question 3. What is the model of temporal data in econometrics, explaining the behavior of resultant variable depending on the future values \u200b\u200bof the factor variable or productive?

model of expectations;

autoregression model;

distributed lag model;

stationary model series;

model of non-stationary series.

Question 4. How successful traits in econometrics can be predicted on the basis of a system of interconnected regression equations?

many successful attributes as behavioral equations and identities in the system;

many successful attributes as behavioral equations included in the system;

a second productive characteristics;

the first score and final sign;

the number of successful traits that defined the researcher.

Question 5. What is the difference between stationary and non-stationary time series?

there is no difference;

stationary time series is not constant average values \u200b\u200baround which a number of levels ranging from the constant variance, and non-stationary - there is;

stationary time series is a constant average value around which a number of levels ranging from the constant variance, and non-stationary - no;

stationary time series a fixed period of time between the levels in non-stationary - no;

in non-stationary time series a fixed period of time between the levels in stationary - no.

Task 3.

Question 1. As in the econometric model called communication reflecting decisions by various economic actors or groups of actors?

Question 2. How in the econometric model called communication display current limit for decision of economic units?

defining communication

behavioral communication;

technological communications;

economic ties;

regulatory communications.

Question 3. What econometric model should be preferred?

models that are diagnostic criteria have a high coefficient of determination;

models that are diagnostic criteria, have a low coefficient of determination;

models, which have a high coefficient of determination, but the diagnostic criteria indicate violations of the fundamental hypotheses needed to justify the methods of evaluation used;

models, which have a low coefficient of determination, diagnostic criteria indicate violations of the fundamental hypotheses needed to justify the methods of evaluation used;

there is no right answer.

Question 4: What is the test of the null hypothesis?

model is incorrect, if obtained on the basis of the available data set statistics beyond a certain pre-set confidence interval;

model is correct if obtained on the basis of the available data set statistics beyond a certain pre-set confidence interval;

model is incorrect, if obtained on the basis of the available data set statistics included in some pre-determined confidence interval;

rejecting the null hypothesis is that the model is correct;

there is no right answer.

Question 5. What is the level of significance?

The likelihood that the statistics will be released outside of the confidence interval specified by this critical boundary, and thus will be rejected the null hypothesis is true;

The likelihood that the statistics will go down in the confidence interval specified by this critical boundary, and thus will be rejected the null hypothesis is true;

The likelihood that the statistics will be released outside of the confidence interval specified by this critical boundary, and thus, will be accepted the null hypothesis is true;

The likelihood that the statistics will go down in the confidence interval specified by this critical boundary, and thus, will be accepted null hypothesis;

There is no right answer

Task 4.

Question 1. What are some possible ways to address structural changes in economic systems, described by econometric models?

inclusion in the model of dummy variables;

inclusion in the model of trends;

inclusion in the model of trends and dummy variables;

construction of a system of simultaneous equations;

inclusion in the model of trends and dummy variables, construction of a system of simultaneous equations.

Question 2. What is the assertion that the application of statistical methods postulated properties tend to be asymptotic nature?

this means that the properties are tends to zero the number of measurements;

this means that the properties are the number of measurements tends to infinity;

this means that the properties are the number of measurements tends to zero to infinity;

This means that the properties are not manifested quantity measurement tends to zero

This means that the properties are not manifested quantity measurement tends to infinity.

Question 3. What is the trend in the time series can lead to false regression of two random variables?

in the case of trends in the two random variables false regression does not occur;

deterministic trend;

stochastic trend;

and deterministic and stochastic;

there is no right answer.

Question 4. Which statement is true?

etc.

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